Control Theory is at the heart of information and communication
technologies of complex systems. It can contribute to meeting the
energy and environmental challenges we are facing.
The textbook is organized in the way an engineer classically
proceeds to solve a control problem, that is, elaboration of a
mathematical model capturing the process behavior, analysis of this
model and design of a control to achieve the desired
objectives.
It is divided into three Parts. The first part of the text
addresses modeling aspects through state space and input-output
representations. The notion of the internal state of a system (for
example mechanical, thermal or electrical), as well as its
description using a finite number of variables, is also emphasized.
The second part is devoted to the stability analysis of an
equilibrium point. The authors present classical tools for
stability analysis, such as linearization techniques and Lyapunov
functions.
Central to Control Theory are the notions of feedback and of
closed-loop, and the third part of the textbook describes the
linear control synthesis in a continuous and discrete-time
framework and also in a probabilistic context. Quadratic
optimization and Kalman filtering are presented, as well as the
polynomial representation, a convenient approach to reject
perturbations on the system without making the control law more
complex. Throughout the text, different examples are developed,
both in the chapters and in the exercises.
General
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